Workshopper

Builds your workshops and enjoys it.

Deployment on OpenShift

You can deploy wherever you want, but we test specifically for OpenShift

oc new-app osevg/workshopper -e <YOUR CONFIGURATION>

For example:

oc new-app osevg/workshopper \
    -e CONTENT_URL_PREFIX=https://raw.githubusercontent.com/osevg/workshopper-content/master \
    -e WORKSHOPS_URLS=https://raw.githubusercontent.com/osevg/workshopper-content/master/_workshops/roadshow.yml

Deploying with Docker

You can deploy directly using Docker for example for testing purposes when developing workshop content. In the following example, the workshop content (adocs, images, etc) are in the /home/lisa/workshop directory on your local machine:

docker run -p 8080:8080 \
          -v /home/lisa/workshop:/app-data \
          -e CONTENT_URL_PREFIX="file:///app-data" \
          -e WORKSHOPS_URLS="file:///app-data/_workshop.yml" \
          osevg/workshopper

Deploy with Pre-packaged Workshop Content

Workshopper retrieves and renders the asciidoc workshop content from an external source using the env vars configured. In order to skip hosting your asciidocs externally, you can build a new container image based on osevg/workshopper and package your asciidocs within the same image.

Add the following Dockerfile in the root of your workshop content folder:

FROM osevg/workshopper:latest

ENV CONTENT_URL_PREFIX="file:///opt/data/workshopper-content"
ENV WORKSHOPS_URLS="file:///opt/data/workshopper-content/_cloud-native-roadshow.yml"
ENV DEFAULT_LAB="roadshow"

ADD *.adoc /opt/data/workshopper-content/
ADD *.yml /opt/data/workshopper-content/
ADD images /opt/data/workshopper-content/images

USER root

RUN chown jboss:root -R /opt/data && chmod 777 -R /opt/data

USER jboss

And then build and run the new image:

docker build -t prepackaged-workshopper .
docker run -p 8080:8080 prepackaged-workshopper:latest

Workshopper REST Endpoints

Workshopper exposes a number of endpoints to render the workshops using fragment identifiers:

URI	Description
/	Displays the workshops list
/#/workshop/[id]	Display the workshop with the specified id
/reload	Release the workshop YAML files and reload content

Configuration Using Env Variables

CONTENT_URL_PREFIX (optional)

Content repository where to look for modules. The system will look for

• $CONTENT_URL_PREFIX/_config.yml for configuration
• $CONTENT_URL_PREFIX/_modules.yml for module definition
• $CONTENT_URL_PREFIX/{file name}.adoc for specific content files

If not specified, this variable is constructed from segments as described below.

GITHUB_REPOSITORY & GITHUB_REF (optional)

If the $CONTENT_URL_PREFIX variable is not defined, constructs the $CONTENT_URL_PREFIX variable for Github repository as

CONTENT_URL_PREFIX = https://raw.githubusercontent.com/$GITHUB_REPOSITORY/$GITHUB_REF

If the two variables are not defined then are defaulted to osevg/workshopper-content and master pointing to the latest content provided by the authors.

WORKSHOPS_LIST_URL, WORKSHOPS_URLS (required)

The system needs definition what the workshop should look like. It can work with single or multiple workshops in single one deployment.

You need to choose from

• $WORKSHOPS_LIST_URL for workshops (defines single URL for list file)

or

• $WORKSHOPS_URLS for workshops (direct specification of workshop URLs using comma separated list)

In case neither of these variables is specified, the $WORKSHOPS_URLS defaults to

https://raw.githubusercontent.com/osevg/workshopper-workshops/master/default_workshop.yml

to render sample workshop with all modules.

DEFAULT_LAB (optional)

If the system has multiple workshops using the WORKSHOPS_LIST_URL or WORKSHOPS_URLS the system can automatically redirect to specific workshop specified using this variable.

$WORKSHOPS_LIST_URL

$WORKSHOPS_LIST_URL points to yaml file that contains list of URLs contain workshop definition as described in $WORKSHOPS_URLS section.

$WORKSHOPS_URLS

Comma separated list of urls

WORKSHOPS_URLS = "<URL1>,<URL2>,<URL3>"

The urls point to yaml files describing specific workshop.

YAML Reference

Workshop Files

Workshop YAML file pulls together several (or all) content modules to build a "learning experience" for the end user.

The main sections are

• id - id to use to identify workshop in multi-workshop deployments (SHA-256 of it's URL unless specified)
• name - display name of the workshop
• logo - logo to display on the workshop page
• vars - defines variable values to use in modules
• revision - activate this revision for all modules unless specified for the module
• modules - configure modules in this workshop

for example

id: testing
name: Testing workshop
logo: test.png
vars:
  VARIABLE: value
revision: <revision name>
modules:
  <module configuration>

The module configuration has two sections

• activate - list modules to include in the workshop (all modules are included unless specified)
• revisions - set per-module revision

name: Testing workshop
logo: test.png
revision: revision1
modules:
  activate:
    - module2
  revisions:
    module1: revisionxy

Let's assume that the module definition has 2 modules (module1 and module2) with module2 having dependency on module1. This workshop activates module2 and as it has dependency on module1, both are going to be included in the workshop. module1 is going to have revisionxy while module2 will have revision1.

_config.yml

_config.yml contains basic configuration fo the system. Currently these is only one section allowed in this file called vars that defines most generic fallback values for variables used in the modules.

vars:
  VARIABLE_X: something

_modules.yml

_modules.yml defines modules available in the content repository. The file has one main modules section that contains the key-value pair, where the key is module id and value is module definition.

modules:
  module1:
    module_definition

The module definition contains metadata describing the module

• name - display name of the module
• requires - list of other module ids that are required to understand before starting this module
• vars - defines variable values to use in the module
• revisions - configures content revisions

modules:
  module1:
    name: Module 1
    vars:
      VARIABLE1: value1
  module2:
    name: Module 2
    vars:
      VARIABLE2: value2
    requires:
      - module1

Revisions allow choosing between different content versions either by changing variable values or by choosing completely different content.

modules:
  module1:
    name: Module 1
    vars:
      VARIABLE1: value1
  module2:
    name: Module 2
    vars:
      VARIABLE2: value2
    requires:
      - module1
    revisions:
      revision_name:
        vars:
          VARIABLE2: value22

If no revision is chosen, then the value of $VARIABLE2 is "value2", However when revisoin revision_name is active, variable $VARIABLE2 value is "value22".

Content files

The content file is located in the root of the content repository and follows the naming scheme module-id.adoc. When the content should be in a subdirectory, the module name reflects that by using the _ characted.

modules:
  module1:
    name: Module 1
  sub_module2:
    name: Module 2

This modules definition would have two asciidoc files

  ├── _config.yml
  ├── _modules.yml
  ├── module1.adoc
  └── sub
        └── module2.adoc

Module Variable Precedence

Variable for substitution in modules can be defined in these places

• _config.yml
• _modules.yml
• $WORKSHOPS_LIST_URL / $WORKSHOPS_URLS
• Environment variables

where the priority is

_config.yml < _modules.yml < $WORKSHOPS_LIST_URL / $WORKSHOPS_URLS < Environment variables

i.e. environment variables override all the other definitions.

Other repositories

• Content for OpenShift workshops
• Collection of workshop definitions